CrossRef Text and Data Mining
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Denoising Autoencoder based Noise Reduction Technique for Raman Spectrometers for Standoff Detection of Chemical Warfare Agents
Chang Sik Lee, Hyeong-Geun Yu, Jae-Hyeon Park, Whimin Kim, Dong-Jo Park, Dong Eui Chang, Hyunwoo Nam
J. KIMS Technol. 2021;24(4):374-381.   Published online August 5, 2021
DOI: https://doi.org/10.9766/KIMST.2021.24.4.374

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Denoising Autoencoder based Noise Reduction Technique for Raman Spectrometers for Standoff Detection of Chemical Warfare Agents
Journal of the Korea Institute of Military Science and Technology. 2021;24(4):374-381   Crossref logo
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On-Site Detection of Chemical Warfare Agents
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On-site detection of chemical warfare agents
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Signal‐to‐noise ratio enhancement for Raman spectra based on optimized Raman spectrometer and convolutional denoising autoencoder
Journal of Raman Spectroscopy. 2021;52(4):890-900   Crossref logo
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Deep Raman spectroscopy for the non-invasive standoff detection of concealed chemical threat agents
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Medical image denoising system based on stacked convolutional autoencoder for enhancing 2-dimensional gel electrophoresis noise reduction
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Physiologically based pharmacokinetic modeling of chemical warfare agents
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Physiologically Based Pharmacokinetic Modeling of Chemical Warfare Agents
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Gas phase detection of chemical warfare agents CWAs with portable Raman
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